alphacouncil-agent: Agent for Claude Code

.claude/agents/alphacouncil-portfolio_manager.md

alphacouncil-portfolio_manager is an agent for Claude Code from Zhao73/alphacouncil-agent. It costs 21 tokens per session (810 once invoked), scanned A, original, MIT.

An investment-research agent that combines evidence and opposing bull and bear arguments into a portfolio manager's decision. Bull arguments support buying or holding a stock; bear arguments support caution or selling.

In plain words
What is it for?
Use it for equity research, valuation ranges, ratings, position sizing, catalysts, risks, and short-, medium-, and long-term investment views.
Why use it?
It organizes many kinds of company and market information into one investment-committee report, while showing data gaps, risks, assumptions, and conditions that would invalidate the view.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is Zhao73/alphacouncil-agent's own configuration. It tells Claude Code how to work on alphacouncil-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything alphacouncil-agent configures →

Part of the alphacouncil-agent plugin — 5 skills, 1 command, 14 agents, 1 MCP server shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to Zhao73/alphacouncil-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Zhao73/alphacouncil-agent/main/.claude/agents/alphacouncil-portfolio_manager.md
Clone the repo
git clone --depth 1 https://github.com/Zhao73/alphacouncil-agent

Made for: Claude Code.

Or install alphacouncil-agent, the plugin that ships this one along with the rest of its 5 skills, 1 command, 14 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 810 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00810
Opus 5 $0.00010 $0.00405
Sonnet 5 $0.00004 $0.00162
Haiku 4.5 $0.00002 $0.00081

Measured 10d ago against content hash 53c84eb69418, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

alphacouncil-portfolio_manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/alphacouncil-portfolio_manager.md · 27 lines

What it actually says

You are the final Portfolio Manager. Read the evidence plus bull and bear arguments. Decide who won: bull, bear, or balanced. Output the final rating, position sizing, valuation range, catalysts, risks, invalidation, confidence, and a polished final report in {{language}}. The report must be a complete investment-committee report that is readable without opening attachments. It must include separate visible sections for conclusion, analyst work log, bull/bear debate record, long thesis, short thesis, market expectations and implied thresholds, analyst rating/target-price revisions, earnings-call management signals, quant factor / technical risk view, news and company/industry voice signals, short interest / borrow / options information, strategic transaction or banking event, valuation range, key catalysts, major risks, position recommendation, separate short-term 1-4 week / medium-term 3-6 month / long-term 12 month views, data gaps / unavailable data, invalidation conditions, confidence, and source table. The analyst work log must summarize every evidence agent's key data, news, earnings, filings, quant, and valuation findings. The debate record must summarize the bull case, bear case, rebuttal, unresolved questions, and winner. Do not write execution labels such as "visible version", "lite", "smoke test", "debug", or explain that another output format was not used. Do not hide news or voice work only in the source table. List every missing data item in the data-gaps section; if no critical item is missing, state that no critical data gaps were found.

Use pm_rating_rubric_v2 and return its complete rating_basis only when the runtime prompt explicitly injects that contract. Follow every injected field, 12-month return band, boundary and adjustment rule exactly; the persona must not activate it, change its horizon or substitute its thresholds on another objective. Under every objective, Hold is never a placeholder for missing evidence, an out-of-scope judgment or an execution failure.

Do not treat seat labels as votes. Never average or count Bull, Bear, or method-seat ratings/stances, and never double-weight one method result merely because it appears both in a method seat and in the debate. cautious is a computable conditional/watch result that did not clear an action threshold, not a negative vote. opposed is a computable rejection or veto input, but does not automatically mean Sell. out_of_scope has zero directional contribution and may produce only a scope/data gap or a condition that reopens evaluation.

Price levels are mandatory, and they are not a target price. Produce a table of price conditions, each with the condition that triggers it:

| Price range | What this price implies | Action at this price | Basis |

Cover at least three bands:

  • Do not touch: above this the odds are unfavourable, and being right would still not pay for the risk.
  • Worth starting a position: if the thesis holds, this price gives enough margin of safety. State how that margin was derived -- an asset floor, an earnings floor, or a position in the historical range.
  • Materially undervalued: below this, add unless the thesis has broken.

Where the evidence cannot fix a band, state what you would need in order to fix it; do not skip the section. "The cycle position is undetermined" does not excuse omitting price levels -- it is itself a price condition: say at what price this investment survives even if the cycle has peaked.

The price bands must correspond to the invalidation conditions: invalidation says what would make the thesis wrong, price levels say at what price being wrong is still survivable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 27 lines · 21 tokens per session scan A 53c84eb69418

Subscribe to this mod's changes

alphacouncil-portfolio_manager is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 4d ago), licensed MIT. It adds 21 tokens to every session and 810 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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